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利用 FishClim 模型解决渔业管理中捕捞与气候的二分法问题。

Addressing the dichotomy of fishing and climate in fishery management with the FishClim model.

机构信息

Univ. Littoral Côte d'Opale, CNRS, Univ, Lille, UMR 8187 LOG, F-62930, Wimereux, France.

Marine Biological Association, Citadel Hill, Plymouth, PL1 2PB, UK.

出版信息

Commun Biol. 2022 Nov 9;5(1):1146. doi: 10.1038/s42003-022-04100-6.

Abstract

The relative influence of fishing and Climate-Induced Environmental Change (CIEC) on long-term fluctuations in exploited fish stocks has been controversial because separating their contributions is difficult for two reasons. Firstly, there is in general, no estimation of CIEC for a pre-fishing period and secondly, the assessment of the effects of fishing on stocks has taken place at the same time as CIEC. Here, we describe a new model we have called FishClim that we apply to North Sea cod from 1963 to 2019 to estimate how fishing and CIEC interact and how they both may affect stocks in the future (2020-2100) using CMIP6 scenarios. The FishClim model shows that both fishing and CIEC are intertwined and can either act synergistically (e.g. the 2000-2007 collapse) or antagonistically (e.g. second phase of the gadoid outburst). Failure to monitor CIEC, so that fisheries management immediately adjusts fishing effort in response to environmentally-driven shifts in stock productivity, will therefore create a deleterious response lag that may cause the stock to collapse. We found that during 1963-2019, although the effect of fishing and CIEC drivers fluctuated annually, the pooled influence of fishing and CIEC on the North Sea cod stock was nearly equal at ~55 and ~45%, respectively. Consequently, the application of FishClim, which quantifies precisely the respective influence of fishing and climate, will help to develop better strategies for sustainable, long-term, fish stock management.

摘要

捕捞和气候变化引起的环境变化(CIEC)对已开发鱼类种群长期波动的相对影响一直存在争议,因为由于两个原因,很难将它们的贡献分开。首先,通常没有对捕捞前时期的 CIEC 进行估计,其次,对捕捞对种群影响的评估是在 CIEC 同时进行的。在这里,我们描述了一种我们称之为 FishClim 的新模型,我们将其应用于 1963 年至 2019 年的北海鳕鱼,以估计捕捞和 CIEC 如何相互作用,以及它们如何在未来(2020-2100 年)使用 CMIP6 情景影响种群。FishClim 模型表明,捕捞和 CIEC 是相互交织的,它们可以协同作用(例如,2000-2007 年的崩溃),也可以拮抗作用(例如,鳕鱼爆发的第二阶段)。如果不监测 CIEC,以便渔业管理立即根据种群生产力的环境驱动变化调整捕捞努力,那么这将导致有害的响应滞后,可能导致种群崩溃。我们发现,在 1963 年至 2019 年期间,尽管捕捞和 CIEC 驱动因素的影响每年都在波动,但捕捞和 CIEC 对北海鳕鱼种群的综合影响分别接近 55%和 45%。因此,应用 FishClim 精确量化捕捞和气候的各自影响将有助于制定更好的可持续、长期鱼类种群管理战略。

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